5 citations · 6 across the 2 of their papers we have counts for
2 papers
math.OC2022★ 5 cited
Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon, Danielle Hausler, Arun Jambulapati +2
We develop a variant of the Monteiro-Svaiter (MS) acceleration framework that removes the need to solve an expensive implicit equation at every iteration. Consequently, for any $p\…
math.OC2022★ 1 cited
Distributionally Robust Optimization via Ball Oracle Acceleration
Yair Carmon, Danielle Hausler
We develop and analyze algorithms for distributionally robust optimization (DRO) of convex losses. In particular, we consider group-structured and bounded -divergence uncertaint…